主成分分析

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

瑞利衰落信道（Rayleigh fading channel）是一种无线电信号传播环境的统计模型。这种模型假设信号通过无线信道之后，其信号幅度是随机的，即“衰落”，并且其包络服从瑞利分布。(Rayleigh fading channel (Rayleigh fading channel) is a radio signal propagation environment, the statistical model. The model assumed that after the signal through the wireless channel, the signal amplitude is random, that is, " fading" and subject to its Rayleigh distribution envelope.)

说明：  matlab基础教学系列5，一步步教学代码(the door to matlab)

Lasso变量选择方法创始人的经典代码，内含多个源代码，每个可单独运行(Lasso variable selection method, founder of the classical code, containing more than one source code can be run separately for each)

implementing the echoing application in matlab

谱估计源程序：是谱估计中的经典算法esprit,MUSIC等算法的源程序(spectrum estimation source : the estimation of the classical algorithm esprit, the MUSIC algorithm source code)

说明：  本算法是基于鸡群优化算法CSO优化SVM，可以大大提高VMD的分类准确率，提高优化时间。(This algorithm is based on CSO to optimize SVM, which can greatly improve the classification accuracy of VMD and improve the optimization time.)

motor dc control whith matlab

流行学习isomap（有标注，便于更好理解等距映射方法在高维数据降维过程的实现）(Popular learning isomap (have annotations, facilitate better understanding isometric mapping method in the implementation of the high-dimensional data dimension reduction))

使用支持向量机进行数据的分类预测，所需样本数据较少，且预测精度高，分类效果较好。(Using support vector machines for data classification prediction, requires less sample data, and predict high precision, classification better.)